CN102043858A - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
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- CN102043858A CN102043858A CN2010106077494A CN201010607749A CN102043858A CN 102043858 A CN102043858 A CN 102043858A CN 2010106077494 A CN2010106077494 A CN 2010106077494A CN 201010607749 A CN201010607749 A CN 201010607749A CN 102043858 A CN102043858 A CN 102043858A
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Abstract
The invention provides a data processing method, which comprises the following steps of: 202, setting at least one calculation step for service logic, wherein the type of each calculation step comprises a standard algorithm, a customized algorithm and a formula; and 204, when processing data according to the service logic, processing the data by using at least one calculation step. The invention also provides a data processing device. By the method and the device, the data is processed only by calling the calculation steps corresponding to the service logic of the data without performing secondary development.
Description
Technical field
The present invention relates to a kind of data job operation and device.
Background technology
Infosystem usually will be carried out certain processing to data according to the business rule of enterprise.And all there is own unique business rule in each enterprise, and therefore different enterprises also are not quite similar to the data processing request of same business.
For example: " work attendance Leave Management " module is according to the regulation of enterprise's system of attendance, according to the information of arranging an order according to class and grade, card using information on and off duty, single, the information calculations " situation of turning out for work " such as overtime work is single of asking for leave (be late, leave early, stay away from work without leave, ask for leave, overtime work etc.).Be subjected to the influence of industry characteristic, enterprise's own characteristic, different enterprises are also different to the processing request of " situation of turning out for work ", for example: summation again after some enterprises requires the absence from work without reason time to each class section in a day to round respectively, and other enterprises require to round behind the absence from work without reason temporal summation to all classes section again; The enterprise that has requires the overtime work deduction leave of absence with the same day; The overtime hours number after zero point is calculated in the enterprise's requirement that also has.The processing of the situation of turning out for work is handled as shown in Figure 1.
For another example: it also is the data process of a complexity that the wages of enterprise calculate.From modules such as sale, production, work attendance, performance, extract relevant data, calculate employee's wage, subsidy, bonus, individual income tax etc. according to the wages rule of enterprise.Infosystem should adopt suitable wages computing method according to the wages strategy of enterprise.
(non-project formula) infosystem standardized product can not be included the individual business rule of all enterprises, and does secondary development at each project, and cost can be in any more again.Therefore, designing a kind of processing engine of data flexibly, allow standardized product satisfy diversified data processing request with minimum cost, is a problem demanding prompt solution.
At present, the widely used data processing engine of infosystem mainly contains following three types:
Formula type data processing engine:
Utilize the equation editing device, be all required computing formula of each project settings data process.The advantage of this engine is the flexibility ratio height, but its shortcoming is also clearly:
(1) the SQL editing machine of comparing, the edit capability of equation editing device is limited, is difficult to realize that cycle calculations etc. needs many statements to cooperate the data processing requests that could realize;
(2) each project all needs from the beginning to write formula, and delivery cycle is long, delivery cost is high;
(3) can be a plurality of field assignment simultaneously with a SQL statement, and the result of calculation of each formula can only assignment be given a field.When data volume was very big, this mode counting yield was low, even can't finish calculating.
Canonical algorithm type data processing engine:
With the common segment of data process abstract be canonical algorithm (use storing process realize), the changing unit that will have general applicability is abstract to be various parameters, by the computation rule of changing parameter canonical algorithm, realize the data processing request number of enterprise.
Traffic criteria degree higher (can realize the data processing request of all enterprises with limited parameter), or enterprise's personalization requires under the situation of degree lower (personalization that the client can be provided by the parameter that system is set provides requires), than first kind of engine, canonical algorithm type data processing engine can reduce delivery cost effectively.
The shortcoming of this engine also is very serious: in most cases, how thorough no matter consider, also the personalization of all enterprises can not be required include in canonical algorithm fully.Therefore, when running into the individual demand that can't satisfy by the parameter setting, just must do secondary development to canonical algorithm, cause the delivery cycle of project elongated, delivery cost increases.
Mixed type data processing engine:
Canonical algorithm is combined with formula---the at first calculating of operative norm algorithm, by formula the result of calculation of canonical algorithm is reprocessed then.
This engine combines the advantage of preceding two kinds of engines: utilize canonical algorithm to carry out the calculating of common segment, improved counting yield generally; Utilize formula that the result of calculation of canonical algorithm is reprocessed, improved the satisfaction of enterprise's individual demand, reduced the probability of algorithm secondary development to a certain extent.But there is the more serious problem in following two aspects in this engine:
(1) if canonical algorithm does not satisfy the individual demand of enterprise, and these demands must use cycle calculations to realize, then still need canonical algorithm is carried out secondary development, need very high cost equally.
(2) client can not intervene the data process effectively.Can find in the real work,, influence results of intermediate calculations, will make whole result of calculation meet client's needs more if the client can be provided with formula in the middle of canonical algorithm computation process.And the mixed type computing engines can only be set formula after canonical algorithm, and data are processed afterwards.This exerts to reprocess after forming by a firing with it like making porcelain, and not as carry out suitable adjustment in porcelain manufacturing process, clearly a kind of mode in back can satisfy client's needs with very little cost.
Therefore, need a kind of new data processing mode, can make full use of the canonical algorithm reduction delivery cost that product presets during deal with data, simultaneously enough flexibility ratios are arranged again, can satisfy the individual business rule of enterprise, and have good counting yield.
Summary of the invention
Technical matters to be solved by this invention is, a kind of new data processing mode is provided, can make full use of the canonical algorithm reduction delivery cost that product presets during deal with data, enough flexibility ratios are arranged again simultaneously, can satisfy the individual business rule of enterprise, and have good counting yield.
In view of this, the invention provides a kind of data job operation, comprising: step 202, for service logic is provided with at least one calculation procedure, wherein, the type of each calculation procedure comprises canonical algorithm, self-defined algorithm, formula; Step 204 when according to service logic data being handled, uses at least one calculation procedure that data are handled.By this technical scheme, during deal with data, the calculation procedure that only need call the service logic correspondence of these data is handled and is got final product, and need not to carry out secondary development.
In technique scheme, preferably, in step 202,, the canonical algorithm at least one calculation procedure is set by parameter type is set for service logic, parameter type is corresponding with the canonical algorithm at least one calculation procedure.
In technique scheme, preferably, also comprise: before step 202,, pre-set self-defined algorithm, formula at least one calculation procedure according to service logic.
In technique scheme, preferably, data storage pre-sets self-defined algorithm at least one calculation procedure by storing process in database, pre-sets formula at least one calculation procedure by the equation editing device.
In technique scheme, preferably, in step 202, also the information of at least one calculation procedure is preserved by database or XML document.
The present invention also provides a kind of data manipulation devices, comprising: rule is provided with module, and for service logic is provided with at least one calculation procedure, wherein, the type of each calculation procedure comprises canonical algorithm, self-defined algorithm, formula; The data processing module when by service logic data being handled, uses at least one calculation procedure that data are handled.By this technical scheme, during deal with data, the calculation procedure that only need call the service logic correspondence of these data is handled and is got final product, and need not to carry out secondary development.
In technique scheme, preferably, rule is provided with module by for service logic is provided with parameter type, and the canonical algorithm at least one calculation procedure is set, and parameter type is corresponding with the canonical algorithm at least one calculation procedure.
In technique scheme, preferably, also comprise: formula is provided with module, according to service logic, pre-sets the formula at least one calculation procedure; Self-defined algorithm is provided with module, according to service logic, pre-sets the self-defined algorithm at least one calculation procedure.
In technique scheme, preferably, data storage is in database, and self-defined algorithm is provided with module and pre-sets self-defined algorithm at least one calculation procedure by storing process, and formula is provided with module and pre-sets formula at least one calculation procedure by the equation editing device.
In technique scheme, preferably, rule is provided with module and also the information of at least one calculation procedure is preserved by database or XML document.
By above technical scheme, can realize a kind of data job operation and device, can be at the data of every kind of service logic, calling corresponding calculation procedure handles, also comprise self-defined algorithm in the calculation procedure, make that the applicability of technical solution of the present invention is extremely strong, need not a large amount of energy of user effort and be used for secondary development.
Description of drawings
Fig. 1 is a synoptic diagram of processing processing at the situation of turning out for work;
Fig. 2 is the process flow diagram of data job operation according to an embodiment of the invention;
Fig. 3 is the block diagram of data manipulation devices according to an embodiment of the invention;
Fig. 4 is the synoptic diagram of data manipulation devices according to an embodiment of the invention.
Embodiment
In order more to be expressly understood above-mentioned purpose of the present invention, feature and advantage, the present invention is further described in detail below in conjunction with the drawings and specific embodiments.
Set forth a lot of details in the following description so that fully understand the present invention, still, the present invention can also adopt other to be different from other modes described here and implement, and therefore, the present invention is not limited to the restriction of following public specific embodiment.
For understanding technical scheme of the present invention better, the part term to this area describes below:
Canonical algorithm: development teams adopts modular design, according to service logic the common segment of data process is designed to a cover canonical algorithm, each canonical algorithm by one independently storing process realize.All canonical algorithms are prefabricated in the infosystem standardized product, and be registered in " calculation procedure log-on message " and " canonical algorithm log-on message ".For example: in general, calculate the situation of turning out for work day, to pass through following several steps: initialization, calculate and to swipe the card, to calculate and come to work late and leave early, calculate absence from work without reason, calculate and ask for leave, calculate overtime work, calculating and go on business, calculate actual turn out for work etc., it can be designed to 8 canonical algorithms, prefabricated in product.
Systematic parameter: development teams is when design, exploitation canonical algorithm, and the changing unit that will have general applicability is abstract to be systematic parameter.The computation rule that parameter value can change canonical algorithm is set, thereby satisfies the data processing request of different enterprises.For example: calculate absence from work without reason during the time, the enterprise that has sues for peace as the absence from work without reason time on the same day after requiring the absence from work without reason time to each class section to round again, and round again behind the absence from work without reason temporal summation of the enterprise that has requirement with all classes section, in order to satisfy this variation, it is prefabricated in standardized product to take out parameter " absence from work without reason rounds mode ", and this parameter has two optional values: round afterwards earlier sue for peace, suing for peace earlier afterwards rounds.
Self-defined algorithm: if the individuation data processing request that canonical algorithm combines with formula and still can't realize enterprise, enterprise or exploiting entity can develop self-defined algorithm, and are registered in the system, and each self-defined algorithm is realized by a storing process.Self-defined algorithm can be used as replenishing of canonical algorithm, or replaces certain (a bit) canonical algorithm, makes the data process satisfy the user individual requirement better.
Calculation procedure: each canonical algorithm, self-defined algorithm, formula all are executable separate units, are called a calculation procedure.The corresponding calculation procedure log-on message of each calculation procedure.
Fig. 2 is the process flow diagram of data job operation according to an embodiment of the invention.
As shown in Figure 2, the invention provides a kind of data job operation, comprising: step 202, for service logic is provided with at least one calculation procedure, wherein, the type of each calculation procedure comprises canonical algorithm, self-defined algorithm, formula; Step 204 when according to service logic data being handled, uses at least one calculation procedure that data are handled.By this technical scheme, during deal with data, the calculation procedure that only need call the service logic correspondence of these data is handled and is got final product, and need not to carry out secondary development.
In technique scheme, in step 202,, the canonical algorithm at least one calculation procedure is set by parameter type is set for service logic, parameter type is corresponding with the canonical algorithm at least one calculation procedure.
In technique scheme, also comprise: before step 202,, pre-set self-defined algorithm, formula at least one calculation procedure according to service logic.
In technique scheme, data storage pre-sets self-defined algorithm at least one calculation procedure by storing process in database, pre-sets formula at least one calculation procedure by the equation editing device.
In technique scheme, in step 202, also the information of at least one calculation procedure is preserved by database or XML document.
Fig. 3 is the block diagram of data manipulation devices according to an embodiment of the invention.
As shown in Figure 3, the present invention also provides a kind of data manipulation devices 300, comprising: rule is provided with module 302, and for service logic is provided with at least one calculation procedure, wherein, the type of each calculation procedure comprises canonical algorithm, self-defined algorithm, formula; Data processing module 304 when by service logic data being handled, uses at least one calculation procedure that data are handled.By this technical scheme, during deal with data, the calculation procedure that only need call the service logic correspondence of these data is handled and is got final product, and need not to carry out secondary development.
In technique scheme, preferably, rule is provided with module 302 by for service logic is provided with parameter type, and the canonical algorithm at least one calculation procedure is set, and parameter type is corresponding with the canonical algorithm at least one calculation procedure.
In technique scheme, preferably, also comprise: formula is provided with module 306, according to service logic, pre-sets the formula at least one calculation procedure; Self-defined algorithm is provided with module 308, according to service logic, pre-sets the self-defined algorithm at least one calculation procedure.
In technique scheme, preferably, data storage is in database, and self-defined algorithm is provided with module 308 and pre-sets self-defined algorithm at least one calculation procedure by storing process, and formula is provided with module 306 and pre-sets formula at least one calculation procedure by the equation editing device.
In technique scheme, preferably, rule is provided with module 302 and also the information of at least one calculation procedure is preserved by database or XML document.
Fig. 4 is the synoptic diagram of data manipulation devices according to an embodiment of the invention.
As shown in Figure 4, provide a kind of data manipulation devices in the present embodiment, according to calculation procedure log-on message, data processing module 404, rule module 402, four parts of system's configuration information are set below.
The calculation procedure log-on message comprises following content: the calculation procedure that the data process relates to, the sequencing between the calculation procedure; The information such as ID of the type of each calculation procedure, correspondence.Data processing module 404 is carried out calculation procedure according to the calculation procedure log-on message.The way of realization of calculation procedure log-on message does not require, and both can be the table of one or more in the database, can register with XML yet, can also realize by other any reasonable manner.
System's configuration information: comprise parameter-definition, formula definition, canonical algorithm log-on message, four parts of self-defined algorithm log-on message.Require each the bar record in the calculation procedure log-on message can both in formula definition, canonical algorithm log-on message or self-defined algorithm log-on message, find corresponding record.The implementation of formula definition is decided according to infosystem equation editing device, and the implementation of its excess-three part does not require, and both can realize by modes such as database table, XML, texts, also can realize by other any reasonable manner.
Rule is provided with module 402: comprise that rule is provided with device and equation editing device two parts.By rule device is set and changes parameter value, self-defined algorithm is registered in the system, change the content (for example: can change execution sequence, enable/forbid some calculation procedure) of calculation procedure log-on message.By the equation editing device, can increase, edit formula, rule is provided with device and automatically formula is registered in the calculation procedure log-on message.
Data processing module 404: comprise log-on message reader (hereinafter to be referred as " reader "), calculation procedure scheduler (hereinafter to be referred as " scheduler "), formula actuator, four parts of algorithm actuator.Reader reads the calculation procedure log-on message by execution sequence, and passes to scheduler, and the latter is according to the specifying information of calculation procedure, calls the formula actuator or the algorithm actuator is finished the data process.
Before the formal use of data manipulation devices in the present embodiment or in the use,, change data processing rule, satisfy user's individuation data processing request by following three kinds of settings:
1, by rule device is set and changes parameter value, and then change the computation rule of canonical algorithm.
2, use the equation editing device between canonical algorithm and the ending of a whole set of canonical algorithm set formula, by formula middle result of calculation, final calculation result are reprocessed.When formula was preserved, system was saved in it in formula definition, and is registered to automatically in the calculation procedure log-on message.
3, in database, write self-defined algorithm (storing process), and by rule device is set it is registered in calculation procedure log-on message and the self-defined algorithm log-on message.Self-defined algorithm can be carried out between canonical algorithm, also can carry out in the ending of a whole set of canonical algorithm.Making algorithm by oneself has three kinds of modes to influence computation rule:
(1) results of intermediate calculations, the final calculation result of canonical algorithm are reprocessed;
(2) as the replenishing of canonical algorithm, the part that does not relate in the canonical algorithm is calculated;
(3) the forbidding canonical algorithm replaces canonical algorithm with self-defined algorithm.
When data manipulation devices was in the present embodiment worked, data processing module 404 was carried out according to following steps:
1, the reader of data processing module 404 reads calculation procedure information according to execution sequence.If do not read calculation procedure information, then whole data process finishes.
2, after reader reads a calculation procedure information, at first judge " enabling sign " of this calculation procedure,, then ignore this calculation procedure, continue to read next bar if in disabled status.If current calculation procedure is an initiate mode, reader passes to scheduler with the information of this calculation procedure.
3, scheduler is judged the type of this calculation procedure.If formula then forwarded for the 4th step to, call the formula actuator and carry out corresponding formulas; If canonical algorithm or self-defined algorithm then forwarded for the 5th step to, call the algorithm actuator, carry out corresponding standard algorithm or self-defined algorithm.
4, after the formula actuator receives that scheduler passes the Step Information of coming, from formula definition, search the corresponding formulas definition, resolve and carry out this formula according to ID.Be finished and forwarded for the 6th step to.
5, after the algorithm actuator receives that scheduler passes the Step Information of coming, from canonical algorithm log-on message or self-defined algorithm log-on message, search corresponding storing process according to type and ID, and carry out this storing process.Be finished and forwarded for the 6th step to.
6, after dispatcher invokes formula actuator or algorithm actuator execute current step, reader reads next calculation procedure according to execution sequence, repeat said process then, all read and be finished, finish whole computation process up to all calculation procedure log-on messages.
According to technical scheme of the present invention, can realize a kind of data job operation and device, obtained the effect of following four aspects:
1, customer demand satisfaction height
As previously mentioned, the present invention adopts multiple modes such as system parameter setting, formula, self-defined algorithm, computation rule to canonical algorithm is adjusted flexibly, makes data processing rule meet client's personalized requirement fully, improves the customer demand satisfaction effectively.
Theoretically, three kinds of data processing engines mentioning in the background technology all are a kind of special cases of notebook data processing engine, so the present invention is than higher flexibility ratio is arranged.For example: with all canonical algorithms forbidding, only use formula, Here it is formula type data processing engine; Only use canonical algorithm and systematic parameter, Here it is canonical algorithm type data processing engine; Last at canonical algorithm increases formula, Here it is mixed type data processing engine.And the present invention allows defined formula, self-defined algorithm in the middle of canonical algorithm, and this is that these three kinds of engines are not accomplished.
2, the computation process intervention is strong
The present invention allows to increase formula, self-defined algorithm in the middle of canonical algorithm, so that middle result of calculation is reprocessed.Than at last data being reprocessed at canonical algorithm, the present invention has strengthened the intervention of user to computation process.
3, delivery cycle is short, delivery cost is low
The present invention allows to adopt different strategies at different situations, makes that delivery cycle is the shortest generally, delivery cost is minimum.
(1) when the practical business of enterprise and the difference between the benchmark service are little, cooperating parameter that the data processing request that satisfies enterprise is set with canonical algorithm is mode the most efficiently.
(2) if certain difference is arranged between requirement of enterprise and the benchmark service, can set formula, with the very little satisfying personalized demand of cost.
(3) very complicated when the business data processing request, in the time of can't realizing with formula, can adopt self-defined algorithm to deal with problems.Because canonical algorithm adopts modular design, allow in the middle of canonical algorithm, to add self-defined algorithm, or replace the part of standards algorithm with self-defined algorithm.Compare with rewriteeing whole canonical algorithm, obviously shorten its delivery cycle.
4, carry out the efficient height
The main body of data process is storing process (no matter canonical algorithm or self-defined algorithm), and it carries out efficient apparently higher than formula.Therefore, adopt the present invention can obtain very high execution efficient.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a data job operation is characterized in that, comprising:
Step 202, for service logic is provided with at least one calculation procedure, wherein, the type of each calculation procedure comprises canonical algorithm, self-defined algorithm, formula;
Step 204 when according to described service logic data being handled, uses described at least one calculation procedure that described data are handled.
2. data job operation according to claim 1, it is characterized in that, in described step 202, by parameter type being set for described service logic, canonical algorithm in described at least one calculation procedure is set, and described parameter type is corresponding with the canonical algorithm in described at least one calculation procedure.
3. data job operation according to claim 1 is characterized in that, also comprises:
Before described step 202,, pre-set self-defined algorithm, formula in described at least one calculation procedure according to described service logic.
4. data job operation according to claim 3, it is characterized in that, described data storage pre-sets self-defined algorithm in described at least one calculation procedure by storing process in database, pre-set formula in described at least one calculation procedure by the equation editing device.
5. according to each described data job operation of claim 1 to 4, it is characterized in that, in described step 202, also the information of described at least one calculation procedure is preserved by database or XML document.
6. a data manipulation devices is characterized in that, comprising:
Rule is provided with module, and for service logic is provided with at least one calculation procedure, wherein, the type of each calculation procedure comprises canonical algorithm, self-defined algorithm, formula;
The data processing module when by described service logic data being handled, uses described at least one calculation procedure that described data are handled.
7. data manipulation devices according to claim 6, it is characterized in that, described rule is provided with module by for described service logic parameter type being set, canonical algorithm in described at least one calculation procedure is set, and described parameter type is corresponding with the canonical algorithm in described at least one calculation procedure.
8. data manipulation devices according to claim 6 is characterized in that, also comprises:
Formula is provided with module, according to described service logic, pre-sets the formula in described at least one calculation procedure;
Self-defined algorithm is provided with module, according to described service logic, pre-sets the self-defined algorithm in described at least one calculation procedure.
9. data manipulation devices according to claim 8, it is characterized in that, described data storage is in database, described self-defined algorithm is provided with module and pre-sets self-defined algorithm in described at least one calculation procedure by storing process, and described formula is provided with module and pre-sets formula in described at least one calculation procedure by the equation editing device.
10. according to each described data manipulation devices of claim 6 to 9, it is characterized in that described rule is provided with module and also the information of described at least one calculation procedure is preserved by database or XML document.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103425854A (en) * | 2012-05-21 | 2013-12-04 | 王卫华 | Charging system for processing data calculation formula |
| CN105989138A (en) * | 2015-02-27 | 2016-10-05 | 北大方正集团有限公司 | Data processing method, data processing system and server |
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2010
- 2010-12-27 CN CN2010106077494A patent/CN102043858A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103425854A (en) * | 2012-05-21 | 2013-12-04 | 王卫华 | Charging system for processing data calculation formula |
| CN105989138A (en) * | 2015-02-27 | 2016-10-05 | 北大方正集团有限公司 | Data processing method, data processing system and server |
| CN105989138B (en) * | 2015-02-27 | 2019-12-31 | 北大方正集团有限公司 | Data processing method, data processing system and server |
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Application publication date: 20110504 |